GPT-4 Turbo vs Grok 3
Compare pricing, context windows, and strengths for GPT-4 Turbo by OpenAI and Grok 3 by xAI - and see how to put either to work in Appaca.
GPT-4 Turbo
Older high-intelligence GPT-4 generation model offering strong reasoning and image input support, now superseded by newer 4o-based models.
View GPT-4 TurboGrok 3
A high-performance enterprise model for coding, extraction, reasoning, and domain-expert tasks across finance, healthcare, law, and science.
View Grok 3GPT-4 Turbo vs Grok 3 at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-4 Turbo | Grok 3 |
|---|---|---|
| Provider | OpenAI | xAI |
| Model type | Text | Text |
| Context window | 128K tokens | 131.1K tokens |
| Input price | $10 / 1M tokens | $3 / 1M tokens |
| Output price | $30 / 1M tokens | $15 / 1M tokens |
| Status | Current | Current |
How GPT-4 Turbo and Grok 3 differ
What the numbers mean in practice when choosing between GPT-4 Turbo and Grok 3.
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Grok 3 is 70% cheaper on input tokens ($3 vs $10 per million), which adds up quickly in document-heavy workloads.
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Grok 3 is 50% cheaper on output tokens ($15 vs $30 per million) - the bigger factor for tools that generate long documents.
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Context windows are close: GPT-4 Turbo handles 128K tokens and Grok 3 handles 131.1K tokens.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-4 Turbo
1. Strong reasoning for its generation
- Next-gen version of GPT-4 designed to be cheaper and faster than the original.
- Good for analytical tasks, structured writing, coding guidance, and multi-step reasoning.
2. Image input support
- Accepts images and provides text-only outputs.
- Useful for OCR, visual Q&A, document extraction, UI analysis, and design interpretation.
3. Stable performance
- Predictable model behavior suitable for legacy systems still built on GPT-4.
- Works reliably for established pipelines and enterprise workloads.
4. Large 128K context window
- Handles long documents, multi-file inputs, or extended conversational sessions.
- Allows complex prompt chaining and large instruction sets.
5. Broad endpoint compatibility
- Works with Chat Completions, Responses API, Realtime API, Assistants, Batch, Fine-tuning, Embeddings, and more.
- Supports streaming and function calling.
6. Good choice for cost-controlled GPT-4-class workloads
- Although older, still useful for teams who want GPT-4-level reasoning without upgrading immediately.
- A midpoint between legacy GPT-4 and modern GPT-4o/5.1 models.
7. Text-only output simplifies downstream use
- Ensures deterministic outputs for applications that need reliable text generation.
- Good for RAG, data pipelines, automation tools, and enterprise systems.
8. Recommended migration path
- OpenAI now recommends using GPT-4o or GPT-5.1 for improved speed, cost, reasoning, and multimodal capability.
- GPT-4 Turbo remains available for backward compatibility and stability.
Grok 3
1. Strong enterprise-grade reasoning
- Built for deep logical reasoning, structured decision-making, and multi-step analysis.
- Performs exceptionally in domains requiring precision: law, finance, healthcare, and STEM.
2. Excellent at data extraction and summarization
- Optimized for structured extraction from documents, PDFs, tables, and complex text.
- Ideal for enterprise workflows like reporting, compliance automation, or knowledge mining.
3. High-performance coding capabilities
- Excels at code generation, debugging, refactoring, and explaining code.
- Competitive with top-tier coding models for multi-file, long-context code reasoning.
4. Supports function calling and structured outputs
- Integrates cleanly with agent frameworks and external tools.
- Predictable, schema-aligned responses suitable for production systems.
5. Large 131K context window
- Handles long documents, transcripts, contracts, codebases, or multi-document tasks.
- Useful for ingesting highly technical materials in one pass.
6. Efficient cost structure with cached token pricing
- Cached inputs: only $0.75 / 1M tokens, enabling large-scale systems.
- Encourages reuse for powerful retrieval-augmented workflows.
7. Enterprise reliability and availability
- Supported across multiple regions (us-east-1, eu-west-1).
- Consistent rate limits: 600 requests/min.
- Suitable for production-grade apps with stability requirements.
8. Supports advanced search capabilities
- Optional Live Search add-on for real-time knowledge retrieval.
- Pricing: $25 per 1K sources.
Use GPT-4 Turbo or Grok 3 - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-4 Turbo or Grok 3 - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT-4 Turbo or Grok 3. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-4 Turbo, test the same tool on Grok 3, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by GPT-4 Turbo or Grok 3 - connected to the tools you already use.
Related comparisons
See how GPT-4 Turbo and Grok 3 stack up against other models in the directory.
FAQs
Grok 3 is generally cheaper: $3 input / $15 output per million tokens, versus $10 / $30 for GPT-4 Turbo. Actual cost depends on how many tokens your workload reads and writes.
Grok 3 has the larger context window at 131.1K tokens, compared to 128K tokens for GPT-4 Turbo. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on GPT-4 Turbo, test the same tool on Grok 3, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT-4 Turbo, Grok 3, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with GPT-4 Turbo or Grok 3
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.